Stochastic Policy

A stochastic policy is a way of making decisions where actions are chosen randomly based on certain probabilities, rather than always picking the same action in a given situation. Think of it like a weather forecast predicting different possible outcomes with certain chances; the policy assigns probabilities to each action, allowing for variability. This approach helps systems explore different options and adapt to new information, making decisions more flexible and robust, especially in uncertain or changing environments. It's commonly used in machine learning to balance exploration of new strategies and exploitation of known good actions.